When creating a new product it is important to know which features have to be considered to make you and your customers happy? in this article, I am answering this question…
Let assume that your company wants to create a new or update a product, many questions need to be answered like:
But if you have data ready from the past for old products, then you can predict the future situation for the new product, by using machine learning and advanced analytics. Let me in the following story tell you how.
As we are working in the data science area, it is important to create an analytics product that enables our business partner to work with our results and find answers to their questions. The best way for doing this is to create a dashboard out of our analytics in a way that our business partner be able to work with and also bring him to a level that understands the analytics results.
Analysis, Price Modeling and Prediction: AirBnB Data for Seattle. A detailed overview of AirBnB’s Seattle data analysis using Data Engineering & Machine Learning techniques.
Bank Marketing Campaign: costs prediction – EDA (I). A Data Science approach to predict the best candidates to be targeted for a marketing campaign.
A Data Science approach to predict the best candidates to be targeted for a marketing campaign. The dataset stores information — 2008 to 2015 — of a marketing sales’ operation (telemarketing) implemented by a portuguese bank’s marketing team in order to attract customers to subscribe term deposits, classifying the results as ‘yes’ and ‘no’ into a binary categorical variable.
You have just been hired as a Data Scientist at the World Health Organization (WHO)
Data Preparation Techniques and Its Importance in Machine Learning. “Data are just summaries of thousands of stories, tell a few of those stories to help make the data meaningful.”